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Nadeem Javaid

Researcher at COMSATS Institute of Information Technology

Publications -  978
Citations -  18955

Nadeem Javaid is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Smart grid & Routing protocol. The author has an hindex of 53, co-authored 940 publications receiving 13697 citations. Previous affiliations of Nadeem Javaid include Dalhousie University & University of Paris-Est.

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Evaluating Wireless Proactive Routing Protocols under Scalability and Traffic Constraints

TL;DR: This paper compares and discusses performance trade-offs of the protocols, i.e., how a protocol achieves high packet delivery by paying some cost in the form of increased E2ED and/or routing overhead, based upon extensive simulations in NS-2.
Journal ArticleDOI

An Orthogonal Learning Bird Swarm Algorithm for Optimal Power Flow Problems

TL;DR: In this paper , an evolutionary programming based heuristic method has two contradictory features, exploration and exploitation, balancing in these features have significant impact on its optimization performance, and an OED based auxiliary search strategy has been applied for enhancing performance of the bird swarm algorithm by improving its exploitation search ability.
Book ChapterDOI

Hierarchical Based Coordination Strategy to Efficiently Exchange the Power Among Micro-grids

TL;DR: This comparison shows the effectiveness of proposed hierarchical based coordination (HBC) strategy for decreasing power line losses as compared to conventional non-coordination model (NCM).
Journal ArticleDOI

A Blockchain-Based Deep-Learning-Driven Architecture for Quality Routing in Wireless Sensor Networks

TL;DR: In this article , four deep learning (DL) techniques and a real-time message content validation (RMCV) scheme based on blockchain are used in the proposed network for the detection of malicious nodes (MNs).
Book ChapterDOI

DSM Using Fish Swarm Optimization and Harmony Search Algorithm Using HEMS in Smart Grid

TL;DR: The proposed scheme uses heuristic technique Harmony Search Algorithm with Fish Swarm Algorithm to achieve the defined goals to reduce the total cost and Peak to Average Ratio value while keeping in mind that there is a trade-off of these with waiting time up to an acceptable limit.